Experiments with Hugging Face 🔬 🤗
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Updated
Aug 20, 2024 - Python
Experiments with Hugging Face 🔬 🤗
AI model for summarizing and categorizing news articles
Alexa-based skill with a corresponding conversational model and a lot of AI in the background, such as Sentimental Analysis, Summarization, Topic detection, Paraphrasing and Humor classification. Use of different types of wrappers to extract the information such as Beautiful Soup and other useful functions such as translators and semantic search
Natural language processing - summarization, sentiment analysis, topic detection and more.
Use Twitter like a pro !! Get precise thread, profile summarization on a single click. Know why a certain hashtag is trending in few clicks.
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
Topic detection to identify the main topics on MIT management papers
Topic detection helps label comments from customers about a business or product so that it can continue to grow
A collection of functions to stream and analyze social media contributions
Automatically convert audio and video files and live audio streams to text with AssemblyAI's Speech-to-Text APIs. Do more with Audio Intelligence - summarization, content moderation, topic detection, and more. Powered by cutting-edge AI models.
In this project, we implemented a topic detection system on Twitter. This system reads tweets from a data stream and assigns them to one of the existing clusters or a new one. Each cluster acts as an agent, which makes the proposed approach a multi-agent system. There is also a coordinator, who monitors the whole system and coordinates the agent.
פרויקט ליצירת מודל קלסיפיקציה המסווג ציטוטים מפרוטוקלי ישיבות הכנסת לשמונה נושאים.
Opinion summary using aspect-based sentiment analysis 👍
Tweet dataset utilized in ECIR 2021 Paper: Tweet Length Matters: A Comparative Analysis on Topic Detection in Microblogs.
This is the code for the master's thesis "Multi-view clustering for hierarchical topic detection on corpus of documents named entities" for the Universidad Nacional de Colombia.
This is a small project for Big Data Computing course, applying Dimensionality Reduction, Sampling and Clustering for topic detection in text documents.
data science gear: Advanced machine learning algorithms built on top of keras, tensorflow and sklear
NPM module for SAP Leonardo Machine Learning Foundation - Functional Services https://api.sap.com/package/SAPLeonardoMLFunctionalServices
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